Ying-Jye Wu

867 total citations · 1 hit paper
8 papers, 784 citations indexed

About

Ying-Jye Wu is a scholar working on Molecular Biology, Cell Biology and Dermatology. According to data from OpenAlex, Ying-Jye Wu has authored 8 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Dermatology. Recurrent topics in Ying-Jye Wu's work include Bioactive Compounds and Antitumor Agents (2 papers), Skin and Cellular Biology Research (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Ying-Jye Wu is often cited by papers focused on Bioactive Compounds and Antitumor Agents (2 papers), Skin and Cellular Biology Research (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Ying-Jye Wu collaborates with scholars based in United States, Taiwan and Hong Kong. Ying-Jye Wu's co-authors include James G. Rheinwald, Leroy M. Parker, John H. Sinard, Michael A. Beckett, C. Thomas Griffiths, Stephanie Siu, Lawrence Shih‐Hsin Wu, Chien‐Ting Lin, Vivian Y. Shin and Chi‐Hin Cho and has published in prestigious journals such as Cell, Journal of Parasitology and Investigational New Drugs.

In The Last Decade

Ying-Jye Wu

8 papers receiving 725 citations

Hit Papers

The mesothelial keratins: A new family of cytoskeletal pr... 1982 2026 1996 2011 1982 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ying-Jye Wu United States 5 414 254 116 113 107 8 784
Norihiro Fujimoto Japan 15 216 0.5× 290 1.1× 91 0.8× 53 0.5× 195 1.8× 35 915
I M Freedberg United States 13 377 0.9× 282 1.1× 71 0.6× 106 0.9× 167 1.6× 15 715
Stephen O. Kovacs United States 7 254 0.6× 127 0.5× 29 0.3× 40 0.4× 127 1.2× 8 720
Magdalini Kypriotou France 14 134 0.3× 424 1.7× 50 0.4× 65 0.6× 311 2.9× 18 1.2k
Ben J. Walthall United States 6 119 0.3× 335 1.3× 28 0.2× 30 0.3× 61 0.6× 7 648
Zizheng Hou United States 12 76 0.2× 309 1.2× 28 0.2× 70 0.6× 172 1.6× 23 716
Soo‐Il Chung South Korea 12 330 0.8× 266 1.0× 14 0.1× 78 0.7× 67 0.6× 21 783
Udo Becker Germany 14 167 0.4× 200 0.8× 202 1.7× 20 0.2× 43 0.4× 20 849
Valerie S. Mason United States 6 104 0.3× 201 0.8× 114 1.0× 24 0.2× 82 0.8× 6 708
Frank Burslem United Kingdom 5 65 0.2× 278 1.1× 123 1.1× 103 0.9× 150 1.4× 6 1.2k

Countries citing papers authored by Ying-Jye Wu

Since Specialization
Citations

This map shows the geographic impact of Ying-Jye Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ying-Jye Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Jye Wu more than expected).

Fields of papers citing papers by Ying-Jye Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Jye Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ying-Jye Wu. The network helps show where Ying-Jye Wu may publish in the future.

Co-authorship network of co-authors of Ying-Jye Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Jye Wu. A scholar is included among the top collaborators of Ying-Jye Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying-Jye Wu. Ying-Jye Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Liang, Kung‐Hao & Ying-Jye Wu. (2007). Prediction of complex traits based on the epistasis of multiple haplotypes. Journal of Human Genetics. 52(5). 456–463. 1 indexed citations
2.
Lin, Chien‐Ting, et al.. (2006). The high prevalence of the poor and ultrarapid metabolite alleles of CYP2D6, CYP2C9, CYP2C19, CYP3A4, and CYP3A5 in Taiwanese population. Journal of Human Genetics. 51(10). 857–863. 25 indexed citations
3.
Siu, Stephanie, et al.. (2005). Cell Cycle Arrest by a Natural Product via G2/M Checkpoint. International Journal of Medical Sciences. 2(2). 64–69. 39 indexed citations
4.
Zhang, Wei, et al.. (2005). Suppression of primary breast, colon, gastric and bladder cancers cell growth in vitro by CKBM, a natural product. Investigational New Drugs. 24(3). 181–187. 2 indexed citations
5.
Shin, Vivian Y., et al.. (2004). Anti-tumorigenic and Pro-apoptotic effects of CKBM on gastric cancer growth in nude mice. International Journal of Medical Sciences. 1(3). 137–145. 8 indexed citations
6.
Wu, Ying-Jye, et al.. (1983). Ultrastructure and Function of Oviduct-Uterine Junction in Ascaris suum (Nematoda). Journal of Parasitology. 69(1). 121–121. 2 indexed citations
7.
Wu, Ying-Jye, Leroy M. Parker, Michael A. Beckett, et al.. (1982). The mesothelial keratins: A new family of cytoskeletal proteins identified in cultured mesothelial cells and nonkeratinizing epithelia. Cell. 31(3). 693–703. 475 indexed citations breakdown →
8.
Wu, Ying-Jye & James G. Rheinwald. (1981). A new small (40 kd) keratin filament protein made by some cultured human squamous cell carcinomas. Cell. 25(3). 627–635. 232 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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